Note: The job is a remote job and is open to candidates in USA. Lob is transforming the way businesses use direct mail and is seeking an experienced Staff Data Engineer to lead the design and buildout of their next-generation unified event tracking platform. The role involves collaborating with various teams to unify data ecosystems, create frameworks for event publishing, and mentor engineers while ensuring the platform's health and maintainability.
Responsibilities
- Collaborate with colleagues in the Data, Product, and Engineering teams to unify Lob’s foundational data ecosystem and enable the buildout of internal and external data products
- Create modular, reusable frameworks to enable other engineering teams to publish events to the unified platform
- Implement thorough monitoring and alerting to ensure the health of the data platform
- Apply software development best practices to ensure maintainability of the platform
- Partner with the Engineering Manager to set the Data team’s roadmap & define team processes
- Coach and mentor mid-level engineers on the Data team regarding technical best practices and problem-solving
- Create and maintain documentation for data products and systems
- Advise stakeholders on the constraints and assumptions of the data processed through the unified data platform
- Deprecate outdated legacy systems without negatively impacting core functionality for end users
- Monitor Cloud and SaaS spend for unusual spikes and seek out opportunities to save costs
- Participate in the team on-call rotation (approximately 1 in 4 weeks). Triage and resolve alerts as needed
- Coordinate with other Staff+ engineers on the broader the tech team to align decision making and execute strategic initiatives
Skills
- Bachelor's or Master's degree in a quantitative field, or equivalent work experience
- At least 8 years of combined experience in Data, ML, and/or Software Engineering
- Expertise in Cloud Data Warehousing
- Expertise in streaming data processing systems such as Kafka and Apache Flink
- Expertise in modern software development fundamentals including APIs, version control, containerization, and CICD
- Expertise in a variety of database types, including transactional databases (PostgreSQL preferred) and document/vector databases (like Elasticsearch)
- Familiarity with dbt (data build tool)
- Excellent verbal, written, and visual communication skills
- Excellent organizational and project management skills
- Ability to be decisive & adaptable in the face of ambiguity
- Proficient with project management tools including Jira
- 10 or more years of combined experience in Data, ML, and/or Software Engineering
- Snowflake as Cloud Data Warehousing expertise
- Redshift as a plus for Cloud Data Warehousing expertise
- Familiarity with pipeline orchestration engines (Apache Airflow or Prefect preferred)
- Familiarity with Change Data Capture (CDC) patterns and methods
- Experience with AI-assisted coding tools like ClaudeCode or Cursor
Benefits
- Additional RSUs
- Equity
- Perks
- Competitive benefits
- Remote working opportunities in AZ, CA, CO, DC, FL, GA, IA, IL, MA, MD, MI, MN, MT, NE, NC, NH, NJ, NV, NY, OH, OR, PA, RI, TN, TX, UT, and WA
Company Overview
Company H1B Sponsorship